Lightweight module for fusing physical and neural models

A Julia package for building, and running Biochemical Systems Theory (BST) models

Bayesian quantile regression in Julia

Joint parameter and state inference for state space models using Bayesian techniques

Integrate deep neural network and reverse mode automatic differentiation into Gauss process, have fun !

Utilities to test implementations of the MLJ model interface and provide integration tests for the MLJ ecosystem

One package to train them all

Geospatial transforms for the GeoStats.jl framework

Monotone Cubic B-Splines (arXiv:2307.01748)

Geostatistical functions for the GeoStats.jl framework

Forked successor of https://github.com/JuliaFolds/FoldsThreads.jl

A Julia package containing GNC algorithms for autonomous aerospace systems

Deep and convolutional neural networks with feedback operations in Flux.

MCMCDebugging.jl: debugging utilities for MCMC samplers

Univariate and multiple comparisons statistical hypothesis testing by data permutation

Classification algorithms based on kernel nearest centers

Fast forward simulations of extragalactic foregrounds

Power spectrum inference of irregularly sampled time series using Gaussian Processes in Julia

Empirical Bayes shrinkage in Julia

Dynamical systems identification

Advanced process control for AutomationLabs

A Julia package to provide RML imaging methods for high-resolution radio interferometry

Generate nice reports from MCMC-based approximations

A convenient logging tool compatible with https://github.com/SciML/DifferentialEquations.jl

MulticlassPerceptron.jl

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Fork of https://github.com/JuliaFolds/MicroCollections.jl

Operator pack for Jets.jl. Part of the COFII framework.

Tiny Gibbs sampler making use of AbstractMCMC.jl and MCMCChains.jl

A collection of background subtraction algorithms for spectroscopic data

A Julia package to handle high dimensional astronomy image data sets for radio interferometry

A Julia package supplying abstractions and operations for efficiently working with parcels, or regions of interest, on a CorticalSurface

Non-critical functions for SeaPearl

Fitting astrophysical star formation histories via CMD modelling.

(Experimental) Predicting hand assignments in piano MIDI using neural networks

Simulate Machine Learning-based Business Processes in Julia

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Little helpers for neural networks in the Knet ecosystem

Geostatistical processes for the GeoStats.jl framework

Geostatistical estimation solvers for the GeoStats.jl framework